This function will install Tensorflow and all Keras dependencies. This is a
thin wrapper around tensorflow::install_tensorflow(), with the only
difference being that this includes by default additional extra packages that
keras expects, and the default version of tensorflow installed by
install_keras() may at times be different from the default installed
install_tensorflow(). The default version of tensorflow installed by
install_keras() is "2.6".
install_keras(
method = c("auto", "virtualenv", "conda"),
conda = "auto",
version = "default",
tensorflow = version,
extra_packages = NULL,
...
)Installation method. By default, "auto" automatically finds a method that will work in the local environment. Change the default to force a specific installation method. Note that the "virtualenv" method is not available on Windows.
The path to a conda executable. Use "auto" to allow
reticulate to automatically find an appropriate conda binary. See
Finding Conda for more details.
TensorFlow version to install. Valid values include:
"default" installs 2.6
"release" installs the latest release version of tensorflow (which may
be incompatible with the current version of the R package)
A version specification like "2.4" or "2.4.0". Note that if the patch
version is not supplied, the latest patch release is installed (e.g.,
"2.4" today installs version "2.4.2")
nightly for the latest available nightly build.
To any specification, you can append "-cpu" to install the cpu version
only of the package (e.g., "2.4-cpu")
The full URL or path to a installer binary or python *.whl file.
Synonym for version. Maintained for backwards.
Additional Python packages to install along with TensorFlow.
other arguments passed to reticulate::conda_install() or
reticulate::virtualenv_install(), depending on the method used.
install_tensorflow() or
keras::install_keras() isn't required to use tensorflow with the package.
If you manually configure a python environment with the required
dependencies, you can tell R to use it by pointing reticulate at it,
commonly by setting an environment variable:
Sys.setenv("RETICULATE_PYTHON" = "~/path/to/python-env/bin/python")
Tensorflow on Apple Silicon is not officially
supported by the tensorflow maintainers. It is known that there can be
issues running the official Tensorflow package under Rosetta as well.
Fortunately, for the time being Apple has published a custom version of
Tensorflow compatible with M1 macs. Installation instructions can be found
at: https://developer.apple.com/metal/tensorflow-plugin/. Please note
that this is an experimental build of both python and tensorflow. After
following the instructions provided by Apple, you can advise reticulate to
use that python installation by placing the following in your
.Renviron file:
RETICULATE_PYTHON = "~/miniforge3/bin/python"
If you wish to add additional PyPI packages to your Keras / TensorFlow
environment you can either specify the packages in the extra_packages
argument of install_tensorflow() or install_keras(), or alternatively
install them into an existing environment using the
reticulate::py_install() function. Note that install_keras() includes a
set of additional python packages by default, see ?keras::install_keras
for details.
The default additional packages are: tensorflow-hub, scipy, requests, pyyaml, Pillow, h5py, pandas, with their versions potentially constrained for compatibility with the requested tensorflow version.